Local feature descriptor based rapid 3D ear recognition

This paper presents a local feature descriptor based rapid 3D ear recognition method. A coarse-to-fine pose alignment method is proposed to alleviate local extremum problem of ICP algorithm. At first, the LSP descriptors of 3D ear feature points are used to perform coarse pose alignment. Then the improved ICP algorithm (MICP algorithm) is used for fine pose alignment. Three kinds of descriptors, including LBP descriptor, 3D LBP descriptor and 3D CS-LBP descriptor, are used for feature extraction and matching. Experimental results show that 3D CS-LBP descriptor based method has better recognition performance and computational efficiency than the other two descriptors based methods.